Senior Knowledge Graph Data Engineer (Neo4j) — Remote/Hybrid

AgileEngine, LLC.; Buenos Aires; Remote; ARS 231,811,000 - 355,443,000; Full time

Benefits offered by this job

USD-based pay

Relocation options

Relocation assistance

Job summary

Chevron Global Business Services (GBS) in Buenos Aires seeks an Executive Director, Data Engineering to lead the network data engineering organization. You will own the data platform end-to-end, drive governance, quality, and AI readiness while partnering with regional teams to scale data capabilities across the organization.

Leading a cross-functional team, you will define data strategy, build pipelines, establish standards, and enable AI-driven analytics with secure, observable data products

Qualifications

• 5+ years in data/analytics engineering role
• Proficient with dbt, SQL, and Python
• Experience with Snowflake or similar cloud data warehouses
• Knowledge of data governance, lineage, and data quality
• Experience building data pipelines (ETL/ELT) and APIs
• Ability to scale teams and lead cross-functional programs

Responsibilities

• Build and maintain dbt pipelines, data marts, and warehouse models that serve in-app reporting, spend analytics, AI features, and internal analytics
• Translate complex business logic into maintainable pipeline code
• Maintain semantic layer and governed metrics for multi-consumer use
• Ensure boundary for PII and data privacy in analytics
• Support FastAPI services exposing reporting marts to customers
• Create and maintain ingestion pipelines (Airbyte, S3) and data quality checks
• Contribute to data governance and data quality programs across teams

Skills

Data platform leadership

Python

SQL

APIs

Streaming pipelines

Data governance

LLM/AI readiness

CI/CD

Data quality

Cloud computing

Education

BS in Computer Science or related field

Tools

Azure Data Factory

Databricks

Airbyte

dbt

Snowflake

FastAPI

Azure Synapse

S3

Git

Job description

Chevron Global Business Services (GBS) in Buenos Aires seeks an Executive Director, Data Engineering to lead the network data engineering organization. You will own the data platform end-to-end, drive governance, quality, and AI readiness while partnering with regional teams to scale data capabilities across the organization.

Leading a cross-functional team, you will define data strategy, build pipelines, establish standards, and enable AI-driven analytics with secure, observable data products